Search Results for "framework python"
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Showing 4 open source projects for "framework python"
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Get full visibility and control over your tasks and projects with Wrike.Wrike offers world-class features that empower cross-functional, distributed, or growing teams take their projects from the initial request stage all the way to tracking work progress and reporting results.
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Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.
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Ice Coral - WorkLog
Work diary to make an evidence of device servicing
This is a part of the Ice Coral project. The WorkLog is focused on evidence of device servicing. It's good for service teams to share information about done work. For more information visit Ice Coral - WorkLog Web Site link below. -
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Ice Coral (project)
Information system for network infrastructure
Ice Coral is intended to take place as Information System for InfraStructure (ISIS). This project should be central information evidence about your network infrastructure. It's planned as modular system, so you can use only one part of this system (eg. WorkLog), if you want. For more info visit Ice Coral (project) Web Site link below. -
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Ice Coral - TimeSpan
Scheduled task and device event evidence
This is a part of the Ice Coral project. The TimeSpan is focused on event evidence, for example scheduled tasks (Windows Task Scheduler, crond). For more info visit Ice Coral - TimeSpan Web Site. -
Cloud data warehouse to power your data-driven innovationBigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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